Update app.py

app.py

@@ -129,7 +129,7 @@ gpt4o_mini_model = initialize_gpt4o_mini_model()
 
 # Existing embeddings and vector store for GPT-4o
 gpt_embeddings = OpenAIEmbeddings(api_key=os.environ['OPENAI_API_KEY'])
-gpt_vectorstore = PineconeVectorStore(index_name="radarfinaldata08192024", embedding=gpt_embeddings)
+gpt_vectorstore = PineconeVectorStore(index_name="italyv109102024", embedding=gpt_embeddings)
 gpt_retriever = gpt_vectorstore.as_retriever(search_kwargs={'k': 5})
 
 
@@ -138,7 +138,7 @@ gpt_retriever = gpt_vectorstore.as_retriever(search_kwargs={'k': 5})
 
 # New vector store setup for Phi-3.5
 phi_embeddings = OpenAIEmbeddings(api_key=os.environ['OPENAI_API_KEY'])
-phi_vectorstore = PineconeVectorStore(index_name="phivectornew09102024", embedding=phi_embeddings)
+phi_vectorstore = PineconeVectorStore(index_name="italyv109102024", embedding=phi_embeddings)
 phi_retriever = phi_vectorstore.as_retriever(search_kwargs={'k': 5})
 
 
@@ -149,7 +149,7 @@ phi_retriever = phi_vectorstore.as_retriever(search_kwargs={'k': 5})
 from pinecone import Pinecone
 pc = Pinecone(api_key=os.environ['PINECONE_API_KEY'])
 
-index_name = "radarfinaldata08192024"
+index_name = "italyv109102024"
 vectorstore = PineconeVectorStore(index_name=index_name, embedding=embeddings)
 retriever = vectorstore.as_retriever(search_kwargs={'k': 5})
 
@@ -167,34 +167,10 @@ def get_current_date():
 
 current_date = get_current_date()
 
-template1 = f"""As an expert concierge in Birmingham, Alabama, known for being a helpful and renowned guide, I am here to assist you on this sunny bright day of {current_date}. Given the current weather conditions and date, I have access to a plethora of information regarding events, places,sports and activities in Birmingham that can enhance your experience.
-If you have any questions or need recommendations, feel free to ask. I have a wealth of knowledge of perennial events in Birmingham and can provide detailed information to ensure you make the most of your time here. Remember, I am here to assist you in any way possible.
-Now, let me guide you through some of the exciting events happening today in Birmingham, Alabama:
-Address: >>, Birmingham, AL
-Time: >>__
-Date: >>__
-Description: >>__
-Address: >>, Birmingham, AL
-Time: >>__
-Date: >>__
-Description: >>__
-Address: >>, Birmingham, AL
-Time: >>__
-Date: >>__
-Description: >>__
-Address: >>, Birmingham, AL
-Time: >>__
-Date: >>__
-Description: >>__
-Address: >>, Birmingham, AL
-Time: >>__
-Date: >>__
-Description: >>__
-If you have any specific preferences or questions about these events or any other inquiries, please feel free to ask. Remember, I am here to ensure you have a memorable and enjoyable experience in Birmingham, AL.
-It was my pleasure!
-{{context}}
+template1 = f"""You are an expert Italian speaker witg unrelah extensive knowledge of the language and culture. Your responses should be brief, to the point, and limited to one or two lines without providing excessive details. Please refrain from discussinted topics. Your signature phrase is, "It’s always a pleasure to assist you!"
+Context: {{context}}
 Question: {{question}}
-Helpful Answer:"""
+Helpful Answer: """
 
 # template2 = f"""As an expert concierge known for being helpful and a renowned guide for Birmingham, Alabama, I assist visitors in discovering the best that the city has to offer. Given today's sunny and bright weather on {current_date}, I am well-equipped to provide valuable insights and recommendations without revealing the locations. I draw upon my extensive knowledge of the area, including perennial events and historical context.
 # In light of this, how can I assist you today? Feel free to ask any questions or seek recommendations for your day in Birmingham. If there's anything specific you'd like to know or experience, please share, and I'll be glad to help. Remember, keep the question concise for a quick and accurate response.
@@ -205,12 +181,10 @@ Helpful Answer:"""
 
 
 
-template2 =f"""Hello there! As your friendly and knowledgeable guide here in Birmingham, Alabama . I'm here to help you discover the best experiences this beautiful city has to offer. It's a bright and sunny day today, {current_date}, and I’m excited to assist you with any insights or recommendations you need.
-Whether you're looking for local events, sports ,clubs,concerts etc or just a great place to grab a bite, I've got you covered.Keep your response casual, short and sweet for the quickest response.Don't reveal the location and give the response in a descriptive way, I'm here to help make your time in Birmingham unforgettable!
-"It’s always a pleasure to assist you!"
-{{context}}
+template2 =f"""You are an expert Italian speaker witg unrelah extensive knowledge of the language and culture. Your responses should be brief, to the point, and limited to one or two lines without providing excessive details. Please refrain from discussinted topics. Your signature phrase is, "It’s always a pleasure to assist you!"
+Context: {{context}}
 Question: {{question}}
-Helpful Answer:"""
+Helpful Answer: """
 
 
 QA_CHAIN_PROMPT_1 = PromptTemplate(input_variables=["context", "question"], template=template1)
@@ -235,115 +209,115 @@ graph = Neo4jGraph(url="neo4j+s://6457770f.databases.neo4j.io",
 # graph_documents = llm_transformer.convert_to_graph_documents(documents)
 # graph.add_graph_documents(graph_documents, baseEntityLabel=True, include_source=True)
 
-class Entities(BaseModel):
-    names: list[str] = Field(..., description="All the person, organization, or business entities that appear in the text")
-
-entity_prompt = ChatPromptTemplate.from_messages([
-    ("system", "You are extracting organization and person entities from the text."),
-    ("human", "Use the given format to extract information from the following input: {question}"),
-])
-
-entity_chain = entity_prompt | chat_model.with_structured_output(Entities)
-
-def remove_lucene_chars(input: str) -> str:
-    return input.translate(str.maketrans({"\\": r"\\", "+": r"\+", "-": r"\-", "&": r"\&", "|": r"\|", "!": r"\!",
-                                          "(": r"\(", ")": r"\)", "{": r"\{", "}": r"\}", "[": r"\[", "]": r"\]",
-                                          "^": r"\^", "~": r"\~", "*": r"\*", "?": r"\?", ":": r"\:", '"': r'\"',
-                                          ";": r"\;", " ": r"\ "}))
-
-def generate_full_text_query(input: str) -> str:
-    full_text_query = ""
-    words = [el for el in remove_lucene_chars(input).split() if el]
-    for word in words[:-1]:
-        full_text_query += f" {word}~2 AND"
-    full_text_query += f" {words[-1]}~2"
-    return full_text_query.strip()
-
-def structured_retriever(question: str) -> str:
-    result = ""
-    entities = entity_chain.invoke({"question": question})
-    for entity in entities.names:
-        response = graph.query(
-            """CALL db.index.fulltext.queryNodes('entity', $query, {limit:2})
-            YIELD node,score
-            CALL {
-              WITH node
-              MATCH (node)-[r:!MENTIONS]->(neighbor)
-              RETURN node.id + ' - ' + type(r) + ' -> ' + neighbor.id AS output
-              UNION ALL
-              WITH node
-              MATCH (node)<-[r:!MENTIONS]-(neighbor)
-              RETURN neighbor.id + ' - ' + type(r) + ' -> ' +  node.id AS output
-            }
-            RETURN output LIMIT 50
-            """,
-            {"query": generate_full_text_query(entity)},
-        )
-        result += "\n".join([el['output'] for el in response])
-    return result
-
-def retriever_neo4j(question: str):
-    structured_data = structured_retriever(question)
-    logging.debug(f"Structured data: {structured_data}")
-    return structured_data
-
-_template = """Given the following conversation and a follow-up question, rephrase the follow-up question to be a standalone question,
-in its original language.
-Chat History:
-{chat_history}
-Follow Up Input: {question}
-Standalone question:"""
-
-CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(_template)
-
-def _format_chat_history(chat_history: list[tuple[str, str]]) -> list:
-    buffer = []
-    for human, ai in chat_history:
-        buffer.append(HumanMessage(content=human))
-        buffer.append(AIMessage(content=ai))
-    return buffer
-
-_search_query = RunnableBranch(
-    (
-        RunnableLambda(lambda x: bool(x.get("chat_history"))).with_config(
-            run_name="HasChatHistoryCheck"
-        ),
-        RunnablePassthrough.assign(
-            chat_history=lambda x: _format_chat_history(x["chat_history"])
-        )
-        | CONDENSE_QUESTION_PROMPT
-        | ChatOpenAI(temperature=0, api_key=os.environ['OPENAI_API_KEY'])
-        | StrOutputParser(),
-    ),
-    RunnableLambda(lambda x : x["question"]),
-)
-
-# template = """Answer the question based only on the following context:
-# {context}
-# Question: {question}
-# Use natural language and be concise.
-# Answer:"""
-
-template = f"""As an expert concierge known for being helpful and a renowned guide for Birmingham, Alabama, I assist visitors in discovering the best that the city has to offer.I also assist the visitors about various sports and activities. Given today's sunny and bright weather on {current_date}, I am well-equipped to provide valuable insights and recommendations without revealing specific locations. I draw upon my extensive knowledge of the area, including perennial events and historical context.
-In light of this, how can I assist you today? Feel free to ask any questions or seek recommendations for your day in Birmingham. If there's anything specific you'd like to know or experience, please share, and I'll be glad to help. Remember, keep the question concise for a quick,short ,crisp and accurate response.
-"It was my pleasure!"
-{{context}}
-Question: {{question}}
-Helpful Answer:"""
+# class Entities(BaseModel):
+#     names: list[str] = Field(..., description="All the person, organization, or business entities that appear in the text")
+
+# entity_prompt = ChatPromptTemplate.from_messages([
+#     ("system", "You are extracting organization and person entities from the text."),
+#     ("human", "Use the given format to extract information from the following input: {question}"),
+# ])
+
+# entity_chain = entity_prompt | chat_model.with_structured_output(Entities)
+
+# def remove_lucene_chars(input: str) -> str:
+#     return input.translate(str.maketrans({"\\": r"\\", "+": r"\+", "-": r"\-", "&": r"\&", "|": r"\|", "!": r"\!",
+#                                           "(": r"\(", ")": r"\)", "{": r"\{", "}": r"\}", "[": r"\[", "]": r"\]",
+#                                           "^": r"\^", "~": r"\~", "*": r"\*", "?": r"\?", ":": r"\:", '"': r'\"',
+#                                           ";": r"\;", " ": r"\ "}))
+
+# def generate_full_text_query(input: str) -> str:
+#     full_text_query = ""
+#     words = [el for el in remove_lucene_chars(input).split() if el]
+#     for word in words[:-1]:
+#         full_text_query += f" {word}~2 AND"
+#     full_text_query += f" {words[-1]}~2"
+#     return full_text_query.strip()
+
+# def structured_retriever(question: str) -> str:
+#     result = ""
+#     entities = entity_chain.invoke({"question": question})
+#     for entity in entities.names:
+#         response = graph.query(
+#             """CALL db.index.fulltext.queryNodes('entity', $query, {limit:2})
+#             YIELD node,score
+#             CALL {
+#               WITH node
+#               MATCH (node)-[r:!MENTIONS]->(neighbor)
+#               RETURN node.id + ' - ' + type(r) + ' -> ' + neighbor.id AS output
+#               UNION ALL
+#               WITH node
+#               MATCH (node)<-[r:!MENTIONS]-(neighbor)
+#               RETURN neighbor.id + ' - ' + type(r) + ' -> ' +  node.id AS output
+#             }
+#             RETURN output LIMIT 50
+#             """,
+#             {"query": generate_full_text_query(entity)},
+#         )
+#         result += "\n".join([el['output'] for el in response])
+#     return result
+
+# def retriever_neo4j(question: str):
+#     structured_data = structured_retriever(question)
+#     logging.debug(f"Structured data: {structured_data}")
+#     return structured_data
+
+# _template = """Given the following conversation and a follow-up question, rephrase the follow-up question to be a standalone question,
+# in its original language.
+# Chat History:
+# {chat_history}
+# Follow Up Input: {question}
+# Standalone question:"""
+
+# CONDENSE_QUESTION_PROMPT = PromptTemplate.from_template(_template)
+
+# def _format_chat_history(chat_history: list[tuple[str, str]]) -> list:
+#     buffer = []
+#     for human, ai in chat_history:
+#         buffer.append(HumanMessage(content=human))
+#         buffer.append(AIMessage(content=ai))
+#     return buffer
+
+# _search_query = RunnableBranch(
+#     (
+#         RunnableLambda(lambda x: bool(x.get("chat_history"))).with_config(
+#             run_name="HasChatHistoryCheck"
+#         ),
+#         RunnablePassthrough.assign(
+#             chat_history=lambda x: _format_chat_history(x["chat_history"])
+#         )
+#         | CONDENSE_QUESTION_PROMPT
+#         | ChatOpenAI(temperature=0, api_key=os.environ['OPENAI_API_KEY'])
+#         | StrOutputParser(),
+#     ),
+#     RunnableLambda(lambda x : x["question"]),
+# )
+
+# # template = """Answer the question based only on the following context:
+# # {context}
+# # Question: {question}
+# # Use natural language and be concise.
+# # Answer:"""
+
+# template = f"""As an expert concierge known for being helpful and a renowned guide for Birmingham, Alabama, I assist visitors in discovering the best that the city has to offer.I also assist the visitors about various sports and activities. Given today's sunny and bright weather on {current_date}, I am well-equipped to provide valuable insights and recommendations without revealing specific locations. I draw upon my extensive knowledge of the area, including perennial events and historical context.
+# In light of this, how can I assist you today? Feel free to ask any questions or seek recommendations for your day in Birmingham. If there's anything specific you'd like to know or experience, please share, and I'll be glad to help. Remember, keep the question concise for a quick,short ,crisp and accurate response.
+# "It was my pleasure!"
+# {{context}}
+# Question: {{question}}
+# Helpful Answer:"""
 
-qa_prompt = ChatPromptTemplate.from_template(template)
+# qa_prompt = ChatPromptTemplate.from_template(template)
 
-chain_neo4j = (
-    RunnableParallel(
-        {
-            "context": _search_query | retriever_neo4j,
-            "question": RunnablePassthrough(),
-        }
-    )
-    | qa_prompt
-    | chat_model
-    | StrOutputParser()
-)
+# chain_neo4j = (
+#     RunnableParallel(
+#         {
+#             "context": _search_query | retriever_neo4j,
+#             "question": RunnablePassthrough(),
+#         }
+#     )
+#     | qa_prompt
+#     | chat_model
+#     | StrOutputParser()
+# )
 
 
 
@@ -353,7 +327,9 @@ chain_neo4j = (
 
 phi_custom_template = """
 <|system|>
-You are a helpful assistant who provides clear, organized, crisp and conversational responses about an events,concerts,sports and all other activities of Birmingham,Alabama .<|end|>
+You are an expert Italian speaker with extensive knowledge of the language and culture. 
+Your responses should be brief, to the point, and limited to one or two lines without providing excessive details. 
+Please refrain from discussing unrelated topics. Your signature phrase is, "It’s always a pleasure to assist you!"<|end|>
 <|user|>
 {context}
 Question: {question}<|end|>
@@ -483,13 +459,16 @@ def clean_response(response_text):
     return cleaned_response
 
 # Define a new template specifically for GPT-4o-mini in VDB Details mode
-gpt4o_mini_template_details = f"""
-As a highly specialized assistant, I provide precise, detailed, and informative responses. On this bright day of {current_date}, I'm equipped to assist with all your queries about Birmingham, Alabama, offering detailed insights tailored to your needs.
-Given your request, here is the detailed information you're seeking:
+gpt4o_mini_template_details = f"""You’re an expert in Italian culture and language with a deep understanding of various topics related to Italy, including history, cuisine, art, and traditions. Your role is to provide clear and concise responses in Italian while remaining focused strictly on the question at hand.
+Your task is to answer questions posed to you. Here are the details about the inquiries I would like you to address:
+- Topic:
+- Specific Question:
+- Context (if any):
+
+Please ensure that your answers remain relevant to the topic and avoid discussing unrelated subjects.
 {{context}}
 Question: {{question}}
-Detailed Answer:
-"""
+Helpful Answer:"""
 
 
 
@@ -523,26 +502,26 @@ def generate_answer(message, choice, retrieval_mode, selected_model):
         else:
             prompt_template = QA_CHAIN_PROMPT_1  # Fallback to template1
 
-        # Handle hotel-related queries
-        if "hotel" in message.lower() or "hotels" in message.lower() and "birmingham" in message.lower():
-            logging.debug("Handling hotel-related query")
-            response = fetch_google_hotels()
-            logging.debug(f"Hotel response: {response}")
-            return response, extract_addresses(response)
-
-        # Handle restaurant-related queries
-        if "restaurant" in message.lower() or "restaurants" in message.lower() and "birmingham" in message.lower():
-            logging.debug("Handling restaurant-related query")
-            response = fetch_yelp_restaurants()
-            logging.debug(f"Restaurant response: {response}")
-            return response, extract_addresses(response)
-
-        # Handle flight-related queries
-        if "flight" in message.lower() or "flights" in message.lower() and "birmingham" in message.lower():
-            logging.debug("Handling flight-related query")
-            response = fetch_google_flights()
-            logging.debug(f"Flight response: {response}")
-            return response, extract_addresses(response)
+        # # Handle hotel-related queries
+        # if "hotel" in message.lower() or "hotels" in message.lower() and "birmingham" in message.lower():
+        #     logging.debug("Handling hotel-related query")
+        #     response = fetch_google_hotels()
+        #     logging.debug(f"Hotel response: {response}")
+        #     return response, extract_addresses(response)
+
+        # # Handle restaurant-related queries
+        # if "restaurant" in message.lower() or "restaurants" in message.lower() and "birmingham" in message.lower():
+        #     logging.debug("Handling restaurant-related query")
+        #     response = fetch_yelp_restaurants()
+        #     logging.debug(f"Restaurant response: {response}")
+        #     return response, extract_addresses(response)
+
+        # # Handle flight-related queries
+        # if "flight" in message.lower() or "flights" in message.lower() and "birmingham" in message.lower():
+        #     logging.debug("Handling flight-related query")
+        #     response = fetch_google_flights()
+        #     logging.debug(f"Flight response: {response}")
+        #     return response, extract_addresses(response)
 
         # Retrieval-based response
         if retrieval_mode == "VDB":
@@ -641,61 +620,61 @@ def add_message(history, message):
 def print_like_dislike(x: gr.LikeData):
     print(x.index, x.value, x.liked)
 
-def extract_addresses(response):
-    if not isinstance(response, str):
-        response = str(response)
-    address_patterns = [
-        r'([A-Z].*,\sBirmingham,\sAL\s\d{5})',
-        r'(\d{4}\s.*,\sBirmingham,\sAL\s\d{5})',
-        r'([A-Z].*,\sAL\s\d{5})',
-        r'([A-Z].*,.*\sSt,\sBirmingham,\sAL\s\d{5})',
-        r'([A-Z].*,.*\sStreets,\sBirmingham,\sAL\s\d{5})',
-        r'(\d{2}.*\sStreets)',
-        r'([A-Z].*\s\d{2},\sBirmingham,\sAL\s\d{5})',
-        r'([a-zA-Z]\s Birmingham)',
-        r'([a-zA-Z].*,\sBirmingham,\sAL)',
-        r'(.*),(Birmingham, AL,USA)$'
-        r'(^Birmingham,AL$)',
-        r'((.*)(Stadium|Field),.*,\sAL$)',
-        r'((.*)(Stadium|Field),.*,\sFL$)',
-        r'((.*)(Stadium|Field),.*,\sMS$)',
-        r'((.*)(Stadium|Field),.*,\sAR$)',
-        r'((.*)(Stadium|Field),.*,\sKY$)',
-        r'((.*)(Stadium|Field),.*,\sTN$)',
-        r'((.*)(Stadium|Field),.*,\sLA$)',
-        r'((.*)(Stadium|Field),.*,\sFL$)'
-
-    ]
-    addresses = []
-    for pattern in address_patterns:
-        addresses.extend(re.findall(pattern, response))
-    return addresses
-
-all_addresses = []
-
-def generate_map(location_names):
-    global all_addresses
-    all_addresses.extend(location_names)
-
-    api_key = os.environ['GOOGLEMAPS_API_KEY']
-    gmaps = GoogleMapsClient(key=api_key)
-
-    m = folium.Map(location=[33.5175, -86.809444], zoom_start=12)
-
-    for location_name in all_addresses:
-        geocode_result = gmaps.geocode(location_name)
-        if geocode_result:
-            location = geocode_result[0]['geometry']['location']
-            folium.Marker(
-                [location['lat'], location['lng']],
-                tooltip=f"{geocode_result[0]['formatted_address']}"
-            ).add_to(m)
-
-    map_html = m._repr_html_()
-    return map_html
-
-from diffusers import DiffusionPipeline
-import torch
+# def extract_addresses(response):
+#     if not isinstance(response, str):
+#         response = str(response)
+#     address_patterns = [
+#         r'([A-Z].*,\sBirmingham,\sAL\s\d{5})',
+#         r'(\d{4}\s.*,\sBirmingham,\sAL\s\d{5})',
+#         r'([A-Z].*,\sAL\s\d{5})',
+#         r'([A-Z].*,.*\sSt,\sBirmingham,\sAL\s\d{5})',
+#         r'([A-Z].*,.*\sStreets,\sBirmingham,\sAL\s\d{5})',
+#         r'(\d{2}.*\sStreets)',
+#         r'([A-Z].*\s\d{2},\sBirmingham,\sAL\s\d{5})',
+#         r'([a-zA-Z]\s Birmingham)',
+#         r'([a-zA-Z].*,\sBirmingham,\sAL)',
+#         r'(.*),(Birmingham, AL,USA)$'
+#         r'(^Birmingham,AL$)',
+#         r'((.*)(Stadium|Field),.*,\sAL$)',
+#         r'((.*)(Stadium|Field),.*,\sFL$)',
+#         r'((.*)(Stadium|Field),.*,\sMS$)',
+#         r'((.*)(Stadium|Field),.*,\sAR$)',
+#         r'((.*)(Stadium|Field),.*,\sKY$)',
+#         r'((.*)(Stadium|Field),.*,\sTN$)',
+#         r'((.*)(Stadium|Field),.*,\sLA$)',
+#         r'((.*)(Stadium|Field),.*,\sFL$)'
+
+#     ]
+#     addresses = []
+#     for pattern in address_patterns:
+#         addresses.extend(re.findall(pattern, response))
+#     return addresses
+
+# all_addresses = []
+
+# def generate_map(location_names):
+#     global all_addresses
+#     all_addresses.extend(location_names)
+
+#     api_key = os.environ['GOOGLEMAPS_API_KEY']
+#     gmaps = GoogleMapsClient(key=api_key)
+
+#     m = folium.Map(location=[33.5175, -86.809444], zoom_start=12)
+
+#     for location_name in all_addresses:
+#         geocode_result = gmaps.geocode(location_name)
+#         if geocode_result:
+#             location = geocode_result[0]['geometry']['location']
+#             folium.Marker(
+#                 [location['lat'], location['lng']],
+#                 tooltip=f"{geocode_result[0]['formatted_address']}"
+#             ).add_to(m)
+
+#     map_html = m._repr_html_()
+#     return map_html
+
+# from diffusers import DiffusionPipeline
+# import torch
 
 
 
@@ -707,79 +686,79 @@ import torch
 
 
 
-def fetch_local_news():
-    api_key = os.environ['SERP_API']
-    url = f'https://serpapi.com/search.json?engine=google_news&q=birmingham headline&api_key={api_key}'
-    response = requests.get(url)
-    if response.status_code == 200:
-        results = response.json().get("news_results", [])
-        news_html = """
-        <h2 style="font-family: 'Georgia', serif; color: #ff0000; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Birmingham Today</h2>
-        <style>
-            .news-item {
-                font-family: 'Verdana', sans-serif;
-                color: #333;
-                background-color: #f0f8ff;
-                margin-bottom: 15px;
-                padding: 10px;
-                border-radius: 5px;
-                transition: box-shadow 0.3s ease, background-color 0.3s ease;
-                font-weight: bold;
-            }
-            .news-item:hover {
-                box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
-                background-color: #e6f7ff;
-            }
-            .news-item a {
-                color: #1E90FF;
-                text-decoration: none;
-                font-weight: bold;
-            }
-            .news-item a:hover {
-                text-decoration: underline;
-            }
-            .news-preview {
-                position: absolute;
-                display: none;
-                border: 1px solid #ccc;
-                border-radius: 5px;
-                box-shadow: 0 2px 4px rgba(0, 0, 0, 0.2);
-                background-color: white;
-                z-index: 1000;
-                max-width: 300px;
-                padding: 10px;
-                font-family: 'Verdana', sans-serif;
-                color: #333;
-            }
-        </style>
-        <script>
-            function showPreview(event, previewContent) {
-                var previewBox = document.getElementById('news-preview');
-                previewBox.innerHTML = previewContent;
-                previewBox.style.left = event.pageX + 'px';
-                previewBox.style.top = event.pageY + 'px';
-                previewBox.style.display = 'block';
-            }
-            function hidePreview() {
-                var previewBox = document.getElementById('news-preview');
-                previewBox.style.display = 'none';
-            }
-        </script>
-        <div id="news-preview" class="news-preview"></div>
-        """
-        for index, result in enumerate(results[:7]):
-            title = result.get("title", "No title")
-            link = result.get("link", "#")
-            snippet = result.get("snippet", "")
-            news_html += f"""
-            <div class="news-item" onmouseover="showPreview(event, '{snippet}')" onmouseout="hidePreview()">
-                <a href='{link}' target='_blank'>{index + 1}. {title}</a>
-                <p>{snippet}</p>
-            </div>
-            """
-        return news_html
-    else:
-        return "<p>Failed to fetch local news</p>"
+# def fetch_local_news():
+#     api_key = os.environ['SERP_API']
+#     url = f'https://serpapi.com/search.json?engine=google_news&q=birmingham headline&api_key={api_key}'
+#     response = requests.get(url)
+#     if response.status_code == 200:
+#         results = response.json().get("news_results", [])
+#         news_html = """
+#         <h2 style="font-family: 'Georgia', serif; color: #ff0000; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Birmingham Today</h2>
+#         <style>
+#             .news-item {
+#                 font-family: 'Verdana', sans-serif;
+#                 color: #333;
+#                 background-color: #f0f8ff;
+#                 margin-bottom: 15px;
+#                 padding: 10px;
+#                 border-radius: 5px;
+#                 transition: box-shadow 0.3s ease, background-color 0.3s ease;
+#                 font-weight: bold;
+#             }
+#             .news-item:hover {
+#                 box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
+#                 background-color: #e6f7ff;
+#             }
+#             .news-item a {
+#                 color: #1E90FF;
+#                 text-decoration: none;
+#                 font-weight: bold;
+#             }
+#             .news-item a:hover {
+#                 text-decoration: underline;
+#             }
+#             .news-preview {
+#                 position: absolute;
+#                 display: none;
+#                 border: 1px solid #ccc;
+#                 border-radius: 5px;
+#                 box-shadow: 0 2px 4px rgba(0, 0, 0, 0.2);
+#                 background-color: white;
+#                 z-index: 1000;
+#                 max-width: 300px;
+#                 padding: 10px;
+#                 font-family: 'Verdana', sans-serif;
+#                 color: #333;
+#             }
+#         </style>
+#         <script>
+#             function showPreview(event, previewContent) {
+#                 var previewBox = document.getElementById('news-preview');
+#                 previewBox.innerHTML = previewContent;
+#                 previewBox.style.left = event.pageX + 'px';
+#                 previewBox.style.top = event.pageY + 'px';
+#                 previewBox.style.display = 'block';
+#             }
+#             function hidePreview() {
+#                 var previewBox = document.getElementById('news-preview');
+#                 previewBox.style.display = 'none';
+#             }
+#         </script>
+#         <div id="news-preview" class="news-preview"></div>
+#         """
+#         for index, result in enumerate(results[:7]):
+#             title = result.get("title", "No title")
+#             link = result.get("link", "#")
+#             snippet = result.get("snippet", "")
+#             news_html += f"""
+#             <div class="news-item" onmouseover="showPreview(event, '{snippet}')" onmouseout="hidePreview()">
+#                 <a href='{link}' target='_blank'>{index + 1}. {title}</a>
+#                 <p>{snippet}</p>
+#             </div>
+#             """
+#         return news_html
+#     else:
+#         return "<p>Failed to fetch local news</p>"
 
 import numpy as np
 import torch
@@ -823,21 +802,21 @@ def transcribe_function(stream, new_chunk):
 
 
 
-def update_map_with_response(history):
-    if not history:
-        return ""
-    response = history[-1][1]
-    addresses = extract_addresses(response)
-    return generate_map(addresses)
+# def update_map_with_response(history):
+#     if not history:
+#         return ""
+#     response = history[-1][1]
+#     addresses = extract_addresses(response)
+#     return generate_map(addresses)
 
 def clear_textbox():
     return ""
 
-def show_map_if_details(history, choice):
-    if choice in ["Details", "Conversational"]:
-        return gr.update(visible=True), update_map_with_response(history)
-    else:
-        return gr.update(visible(False), "")
+# def show_map_if_details(history, choice):
+#     if choice in ["Details", "Conversational"]:
+#         return gr.update(visible=True), update_map_with_response(history)
+#     else:
+#         return gr.update(visible(False), "")
 
 
 
@@ -962,153 +941,153 @@ def generate_audio_parler_tts(text):
     return combined_audio_path
 
 
-def fetch_local_events():
-    api_key = os.environ['SERP_API']
-    url = f'https://serpapi.com/search.json?engine=google_events&q=Events+in+Birmingham&hl=en&gl=us&api_key={api_key}'
-    response = requests.get(url)
-    if response.status_code == 200:
-        events_results = response.json().get("events_results", [])
-        events_html = """
-        <h2 style="font-family: 'Georgia', serif; color: #ff0000; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Local Events</h2>
-        <style>
-            table {
-                font-family: 'Verdana', sans-serif;
-                color: #333;
-                border-collapse: collapse;
-                width: 100%;
-            }
-            th, td {
-                border: 1px solid #fff !important;
-                padding: 8px;
-            }
-            th {
-                background-color: #f2f2f2;
-                color: #333;
-                text-align: left;
-            }
-            tr:hover {
-                background-color: #f5f5f5;
-            }
-            .event-link {
-                color: #1E90FF;
-                text-decoration: none;
-            }
-            .event-link:hover {
-                text-decoration: underline;
-            }
-        </style>
-        <table>
-            <tr>
-                <th>Title</th>
-                <th>Date and Time</th>
-                <th>Location</th>
-            </tr>
-        """
-        for event in events_results:
-            title = event.get("title", "No title")
-            date_info = event.get("date", {})
-            date = f"{date_info.get('start_date', '')} {date_info.get('when', '')}".replace("{", "").replace("}", "")
-            location = event.get("address", "No location")
-            if isinstance(location, list):
-                location = " ".join(location)
-            location = location.replace("[", "").replace("]", "")
-            link = event.get("link", "#")
-            events_html += f"""
-            <tr>
-                <td><a class='event-link' href='{link}' target='_blank'>{title}</a></td>
-                <td>{date}</td>
-                <td>{location}</td>
-            </tr>
-            """
-        events_html += "</table>"
-        return events_html
-    else:
-        return "<p>Failed to fetch local events</p>"
-
-def get_weather_icon(condition):
-    condition_map = {
-        "Clear": "c01d",
-        "Partly Cloudy": "c02d",
-        "Cloudy": "c03d",
-        "Overcast": "c04d",
-        "Mist": "a01d",
-        "Patchy rain possible": "r01d",
-        "Light rain": "r02d",
-        "Moderate rain": "r03d",
-        "Heavy rain": "r04d",
-        "Snow": "s01d",
-        "Thunderstorm": "t01d",
-        "Fog": "a05d",
-    }
-    return condition_map.get(condition, "c04d")
-
-def fetch_local_weather():
-    try:
-        api_key = os.environ['WEATHER_API']
-        url = f'https://weather.visualcrossing.com/VisualCrossingWebServices/rest/services/timeline/birmingham?unitGroup=metric&include=events%2Calerts%2Chours%2Cdays%2Ccurrent&key={api_key}'
-        response = requests.get(url)
-        response.raise_for_status()
-        jsonData = response.json()
-
-        current_conditions = jsonData.get("currentConditions", {})
-        temp_celsius = current_conditions.get("temp", "N/A")
-
-        if temp_celsius != "N/A":
-            temp_fahrenheit = int((temp_celsius * 9/5) + 32)
-        else:
-            temp_fahrenheit = "N/A"
-
-        condition = current_conditions.get("conditions", "N/A")
-        humidity = current_conditions.get("humidity", "N/A")
-
-        weather_html = f"""
-        <div class="weather-theme">
-            <h2 style="font-family: 'Georgia', serif; color: #ff0000; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Local Weather</h2>
-            <div class="weather-content">
-                <div class="weather-icon">
-                    <img src="https://www.weatherbit.io/static/img/icons/{get_weather_icon(condition)}.png" alt="{condition}" style="width: 100px; height: 100px;">
-                </div>
-                <div class="weather-details">
-                    <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Temperature: {temp_fahrenheit}°F</p>
-                    <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Condition: {condition}</p>
-                    <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Humidity: {humidity}%</p>
-                </div>
-            </div>
-        </div>
-        <style>
-            .weather-theme {{
-                animation: backgroundAnimation 10s infinite alternate;
-                border-radius: 10px;
-                padding: 10px;
-                margin-bottom: 15px;
-                background: linear-gradient(45deg, #ffcc33, #ff6666, #ffcc33, #ff6666);
-                background-size: 400% 400%;
-                box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
-                transition: box-shadow 0.3s ease, background-color 0.3s ease;
-            }}
-            .weather-theme:hover {{
-                box-shadow: 0 8px 16px rgba(0, 0, 0, 0.2);
-                background-position: 100% 100%;
-            }}
-            @keyframes backgroundAnimation {{
-                0% {{ background-position: 0% 50%; }}
-                100% {{ background-position: 100% 50%; }}
-            }}
-            .weather-content {{
-                display: flex;
-                align-items: center;
-            }}
-            .weather-icon {{
-                flex: 1;
-            }}
-            .weather-details {{
-                flex 3;
-            }}
-        </style>
-        """
-        return weather_html
-    except requests.exceptions.RequestException as e:
-        return f"<p>Failed to fetch local weather: {e}</p>"
+# def fetch_local_events():
+#     api_key = os.environ['SERP_API']
+#     url = f'https://serpapi.com/search.json?engine=google_events&q=Events+in+Birmingham&hl=en&gl=us&api_key={api_key}'
+#     response = requests.get(url)
+#     if response.status_code == 200:
+#         events_results = response.json().get("events_results", [])
+#         events_html = """
+#         <h2 style="font-family: 'Georgia', serif; color: #ff0000; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Local Events</h2>
+#         <style>
+#             table {
+#                 font-family: 'Verdana', sans-serif;
+#                 color: #333;
+#                 border-collapse: collapse;
+#                 width: 100%;
+#             }
+#             th, td {
+#                 border: 1px solid #fff !important;
+#                 padding: 8px;
+#             }
+#             th {
+#                 background-color: #f2f2f2;
+#                 color: #333;
+#                 text-align: left;
+#             }
+#             tr:hover {
+#                 background-color: #f5f5f5;
+#             }
+#             .event-link {
+#                 color: #1E90FF;
+#                 text-decoration: none;
+#             }
+#             .event-link:hover {
+#                 text-decoration: underline;
+#             }
+#         </style>
+#         <table>
+#             <tr>
+#                 <th>Title</th>
+#                 <th>Date and Time</th>
+#                 <th>Location</th>
+#             </tr>
+#         """
+#         for event in events_results:
+#             title = event.get("title", "No title")
+#             date_info = event.get("date", {})
+#             date = f"{date_info.get('start_date', '')} {date_info.get('when', '')}".replace("{", "").replace("}", "")
+#             location = event.get("address", "No location")
+#             if isinstance(location, list):
+#                 location = " ".join(location)
+#             location = location.replace("[", "").replace("]", "")
+#             link = event.get("link", "#")
+#             events_html += f"""
+#             <tr>
+#                 <td><a class='event-link' href='{link}' target='_blank'>{title}</a></td>
+#                 <td>{date}</td>
+#                 <td>{location}</td>
+#             </tr>
+#             """
+#         events_html += "</table>"
+#         return events_html
+#     else:
+#         return "<p>Failed to fetch local events</p>"
+
+# def get_weather_icon(condition):
+#     condition_map = {
+#         "Clear": "c01d",
+#         "Partly Cloudy": "c02d",
+#         "Cloudy": "c03d",
+#         "Overcast": "c04d",
+#         "Mist": "a01d",
+#         "Patchy rain possible": "r01d",
+#         "Light rain": "r02d",
+#         "Moderate rain": "r03d",
+#         "Heavy rain": "r04d",
+#         "Snow": "s01d",
+#         "Thunderstorm": "t01d",
+#         "Fog": "a05d",
+#     }
+#     return condition_map.get(condition, "c04d")
+
+# def fetch_local_weather():
+#     try:
+#         api_key = os.environ['WEATHER_API']
+#         url = f'https://weather.visualcrossing.com/VisualCrossingWebServices/rest/services/timeline/birmingham?unitGroup=metric&include=events%2Calerts%2Chours%2Cdays%2Ccurrent&key={api_key}'
+#         response = requests.get(url)
+#         response.raise_for_status()
+#         jsonData = response.json()
+
+#         current_conditions = jsonData.get("currentConditions", {})
+#         temp_celsius = current_conditions.get("temp", "N/A")
+
+#         if temp_celsius != "N/A":
+#             temp_fahrenheit = int((temp_celsius * 9/5) + 32)
+#         else:
+#             temp_fahrenheit = "N/A"
+
+#         condition = current_conditions.get("conditions", "N/A")
+#         humidity = current_conditions.get("humidity", "N/A")
+
+#         weather_html = f"""
+#         <div class="weather-theme">
+#             <h2 style="font-family: 'Georgia', serif; color: #ff0000; background-color: #f8f8f8; padding: 10px; border-radius: 10px;">Local Weather</h2>
+#             <div class="weather-content">
+#                 <div class="weather-icon">
+#                     <img src="https://www.weatherbit.io/static/img/icons/{get_weather_icon(condition)}.png" alt="{condition}" style="width: 100px; height: 100px;">
+#                 </div>
+#                 <div class="weather-details">
+#                     <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Temperature: {temp_fahrenheit}°F</p>
+#                     <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Condition: {condition}</p>
+#                     <p style="font-family: 'Verdana', sans-serif; color: #333; font-size: 1.2em;">Humidity: {humidity}%</p>
+#                 </div>
+#             </div>
+#         </div>
+#         <style>
+#             .weather-theme {{
+#                 animation: backgroundAnimation 10s infinite alternate;
+#                 border-radius: 10px;
+#                 padding: 10px;
+#                 margin-bottom: 15px;
+#                 background: linear-gradient(45deg, #ffcc33, #ff6666, #ffcc33, #ff6666);
+#                 background-size: 400% 400%;
+#                 box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
+#                 transition: box-shadow 0.3s ease, background-color 0.3s ease;
+#             }}
+#             .weather-theme:hover {{
+#                 box-shadow: 0 8px 16px rgba(0, 0, 0, 0.2);
+#                 background-position: 100% 100%;
+#             }}
+#             @keyframes backgroundAnimation {{
+#                 0% {{ background-position: 0% 50%; }}
+#                 100% {{ background-position: 100% 50%; }}
+#             }}
+#             .weather-content {{
+#                 display: flex;
+#                 align-items: center;
+#             }}
+#             .weather-icon {{
+#                 flex: 1;
+#             }}
+#             .weather-details {{
+#                 flex 3;
+#             }}
+#         </style>
+#         """
+#         return weather_html
+#     except requests.exceptions.RequestException as e:
+#         return f"<p>Failed to fetch local weather: {e}</p>"
 
 
 def handle_retrieval_mode_change(choice):
@@ -1338,45 +1317,45 @@ def fetch_google_flights(departure_id="JFK", arrival_id="BHM", outbound_date=cur
     return flight_info
 
 
-examples = [
-    [
-        "What are the concerts in Birmingham?",
-    ],
-    [
-        "what are some of the upcoming matches of crimson tide?",
-    ],
-    [
-        "where from i will get a Hamburger?",
-    ],
-    [
-        "What are some of the hotels at birmingham?",
-    ],
-    [
-        "how can i connect the alexa to the radio?"
-    ],
-    [
-      "What are some of the good clubs at birmingham?"  
-    ],
-    [
-      "How do I call the radio station?",
-    ],
-    [
-        "What’s the spread?"
-    ],
-    [
-        "What time is Crimson Tide Rewind?"
-    ],
-    [
-        "What time is Alabama kick-off?"
-    ],
-    [
-        "who are some of the popular players of crimson tide?"
-    ]
-]
-
-# Function to insert the prompt into the textbox when clicked
-def insert_prompt(current_text, prompt):
-    return prompt[0] if prompt else current_text
+# examples = [
+#     [
+#         "What are the concerts in Birmingham?",
+#     ],
+#     [
+#         "what are some of the upcoming matches of crimson tide?",
+#     ],
+#     [
+#         "where from i will get a Hamburger?",
+#     ],
+#     [
+#         "What are some of the hotels at birmingham?",
+#     ],
+#     [
+#         "how can i connect the alexa to the radio?"
+#     ],
+#     [
+#       "What are some of the good clubs at birmingham?"  
+#     ],
+#     [
+#       "How do I call the radio station?",
+#     ],
+#     [
+#         "What’s the spread?"
+#     ],
+#     [
+#         "What time is Crimson Tide Rewind?"
+#     ],
+#     [
+#         "What time is Alabama kick-off?"
+#     ],
+#     [
+#         "who are some of the popular players of crimson tide?"
+#     ]
+# ]
+
+# # Function to insert the prompt into the textbox when clicked
+# def insert_prompt(current_text, prompt):
+#     return prompt[0] if prompt else current_text
 
 
 
@@ -1389,7 +1368,7 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
 
             chatbot = gr.Chatbot([], elem_id="RADAR:Channel 94.1", bubble_full_width=False)
             choice = gr.Radio(label="Select Style", choices=["Details", "Conversational"], value="Conversational")
-            retrieval_mode = gr.Radio(label="Retrieval Mode", choices=["VDB", "KGF"], value="VDB")
+            retrieval_mode = gr.Radio(label="Retrieval Mode", choices=["VDB"], value="VDB")
             model_choice = gr.Dropdown(label="Choose Model", choices=["LM-1", "LM-2", "LM-3"], value="LM-1")
 
             # Link the dropdown change to handle_model_choice_change
@@ -1405,8 +1384,8 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
             clear_button = gr.Button("Clear")
             clear_button.click(lambda: [None, None], outputs=[chat_input, state])
 
-            gr.Markdown("<h1 style='color: red;'>Radar Map</h1>", elem_id="Map-Radar")
-            location_output = gr.HTML()
+            # gr.Markdown("<h1 style='color: red;'>Radar Map</h1>", elem_id="Map-Radar")
+            # location_output = gr.HTML()
             audio_output = gr.Audio(interactive=False, autoplay=True)
 
             def stop_audio():
@@ -1424,7 +1403,6 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
                 .then(fn=generate_bot_response, inputs=[chatbot, choice, retrieval_mode, model_choice], outputs=[chatbot], api_name="api_generate_bot_response")
                 # Then, generate the TTS response based on the bot's response
                 .then(fn=generate_tts_response, inputs=[chatbot, tts_choice], outputs=[audio_output], api_name="api_generate_tts_response")
-                .then(fn=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="api_show_map_details")
                 .then(fn=clear_textbox, inputs=[], outputs=[chat_input], api_name="api_clear_textbox")
             )
 
@@ -1443,8 +1421,6 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
             ).then(
                 # Then, generate the TTS response based on the bot's response
                 fn=generate_tts_response, inputs=[chatbot, tts_choice], outputs=[audio_output], api_name="api_generate_tts_response"
-            ).then(
-                fn=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="api_show_map_details"
             ).then(
                 fn=clear_textbox, inputs=[], outputs=[chat_input], api_name="api_clear_textbox"
             )
@@ -1461,25 +1437,25 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
             gr.Markdown("<h1 style='color: red;'>Example Prompts</h1>", elem_id="Example-Prompts")
             gr.Examples(examples=examples, fn=insert_prompt,inputs=chat_input, outputs=chat_input)
 
-        with gr.Column():
-            weather_output = gr.HTML(value=fetch_local_weather())
-            news_output = gr.HTML(value=fetch_local_news())
-            events_output = gr.HTML(value=fetch_local_events())
+        # with gr.Column():
+        #     weather_output = gr.HTML(value=fetch_local_weather())
+        #     news_output = gr.HTML(value=fetch_local_news())
+        #     events_output = gr.HTML(value=fetch_local_events())
 
-        with gr.Column():
+        # with gr.Column():
            
           
-            # Call update_images during the initial load to display images when the interface appears
-            initial_images = update_images()
+        #     # Call update_images during the initial load to display images when the interface appears
+        #     initial_images = update_images()
             
-            # Displaying the images generated using Flux API directly
-            image_output_1 = gr.Image(value=initial_images[0], label="Image 1", elem_id="flux_image_1", width=400, height=400)
-            image_output_2 = gr.Image(value=initial_images[1], label="Image 2", elem_id="flux_image_2", width=400, height=400)
-            image_output_3 = gr.Image(value=initial_images[2], label="Image 3", elem_id="flux_image_3", width=400, height=400)
+        #     # Displaying the images generated using Flux API directly
+        #     image_output_1 = gr.Image(value=initial_images[0], label="Image 1", elem_id="flux_image_1", width=400, height=400)
+        #     image_output_2 = gr.Image(value=initial_images[1], label="Image 2", elem_id="flux_image_2", width=400, height=400)
+        #     image_output_3 = gr.Image(value=initial_images[2], label="Image 3", elem_id="flux_image_3", width=400, height=400)
     
-            # Refresh button to update images
-            refresh_button = gr.Button("Refresh Images")
-            refresh_button.click(fn=update_images, inputs=None, outputs=[image_output_1, image_output_2, image_output_3])
+        #     # Refresh button to update images
+        #     refresh_button = gr.Button("Refresh Images")
+        #     refresh_button.click(fn=update_images, inputs=None, outputs=[image_output_1, image_output_2, image_output_3])