Upload folder using huggingface_hub

README.md

@@ -1,12 +1,6 @@
 ---
-title: Guess What I Am Thinking
-emoji: 👁
-colorFrom: blue
-colorTo: blue
+title: guess_what_I_am_thinking
+app_file: main.py
 sdk: gradio
 sdk_version: 4.26.0
-app_file: app.py
-pinned: false
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

main.py

@@ -0,0 +1,48 @@
+from langchain_community.llms import HuggingFaceEndpoint
+from langchain.prompts import PromptTemplate
+from langchain.schema import AIMessage, HumanMessage
+from langchain.chains import LLMChain
+import gradio as gr
+import os
+
+from dotenv import load_dotenv
+
+load_dotenv()
+
+repo_id = "mistralai/Mistral-7B-Instruct-v0.2"
+llm = HuggingFaceEndpoint(
+    repo_id = repo_id, 
+    # huggingfacehub_api_token=HUGGINGFACEHUB_API_TOKEN,
+)
+
+template = """You're a good chatbot, you're thinking only about Eras Tour. 
+You're playing with the user: they will guess what you're thinking. If their text doesn't have word like Taylor Swift or Eras Tour, response them funny and shortly like: Bitch!. User: {question}
+Answer: ."""
+prompt = PromptTemplate.from_template(template=template)
+llm_chain = LLMChain(llm=llm, prompt=prompt)
+
+
+def predict(message, history):
+    history_langchain_format = []
+    # for human, ai in history:
+    #     history_langchain_format.append(HumanMessage(content=human))
+    #     history_langchain_format.append(AIMessage(content=ai))
+    # history_langchain_format.append(HumanMessage(content=message))
+    # gpt_response = llm(history_langchain_format)
+    response = llm_chain.invoke(message)['text']
+    return response
+
+gr.ChatInterface(predict).launch()
+
+
+
+
+
+
+
+
+
+
+
+
+

requirements.txt

@@ -0,0 +1,13 @@
+langchain 
+crewai 
+wolframalpha 
+duckduckgo-search
+crewai[tools]
+beautifulsoup4 
+requests 
+lxml
+langchain-community
+huggingface_hub
+google-api-python-client 
+google-auth-httplib2 
+google-auth-oauthlib