Update app.py

app.py

@@ -1,132 +1,22 @@
-# from huggingface_hub import InferenceClient
-# import gradio as gr
-
-# client = InferenceClient(
-#     "mistralai/Mixtral-8x7B-Instruct-v0.1"
-# )
-
-
-# def format_prompt(message, history):
-#   prompt = "<s>"
-#   for user_prompt, bot_response in history:
-#     prompt += f"[INST] {user_prompt} [/INST]"
-#     prompt += f" {bot_response}</s> "
-#   prompt += f"[INST] {message} [/INST]"
-#   return prompt
-
-# def generate(
-#     prompt, history, system_prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0,
-# ):
-#     temperature = float(temperature)
-#     if temperature < 1e-2:
-#         temperature = 1e-2
-#     top_p = float(top_p)
-
-#     generate_kwargs = dict(
-#         temperature=temperature,
-#         max_new_tokens=max_new_tokens,
-#         top_p=top_p,
-#         repetition_penalty=repetition_penalty,
-#         do_sample=True,
-#         seed=42,
-#     )
-
-#     formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
-#     stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
-#     output = ""
-
-#     for response in stream:
-#         output += response.token.text
-#         yield output
-#     return output
-
-
-# additional_inputs=[
-#     gr.Textbox(
-#         label="System Prompt",
-#         max_lines=1,
-#         interactive=True,
-#     ),
-#     gr.Slider(
-#         label="Temperature",
-#         value=0.9,
-#         minimum=0.0,
-#         maximum=1.0,
-#         step=0.05,
-#         interactive=True,
-#         info="Higher values produce more diverse outputs",
-#     ),
-#     gr.Slider(
-#         label="Max new tokens",
-#         value=256,
-#         minimum=0,
-#         maximum=1048,
-#         step=64,
-#         interactive=True,
-#         info="The maximum numbers of new tokens",
-#     ),
-#     gr.Slider(
-#         label="Top-p (nucleus sampling)",
-#         value=0.90,
-#         minimum=0.0,
-#         maximum=1,
-#         step=0.05,
-#         interactive=True,
-#         info="Higher values sample more low-probability tokens",
-#     ),
-#     gr.Slider(
-#         label="Repetition penalty",
-#         value=1.2,
-#         minimum=1.0,
-#         maximum=2.0,
-#         step=0.05,
-#         interactive=True,
-#         info="Penalize repeated tokens",
-#     )
-# ]
-
-# examples=[["I'm planning a vacation to Japan. Can you suggest a one-week itinerary including must-visit places and local cuisines to try?", None, None, None, None, None, ],
-#           ["Can you write a short story about a time-traveling detective who solves historical mysteries?", None, None, None, None, None,],
-#           ["I'm trying to learn French. Can you provide some common phrases that would be useful for a beginner, along with their pronunciations?", None, None, None, None, None,],
-#           ["I have chicken, rice, and bell peppers in my kitchen. Can you suggest an easy recipe I can make with these ingredients?", None, None, None, None, None,],
-#           ["Can you explain how the QuickSort algorithm works and provide a Python implementation?", None, None, None, None, None,],
-#           ["What are some unique features of Rust that make it stand out compared to other systems programming languages like C++?", None, None, None, None, None,],
-#          ]
-
-# gr.ChatInterface(
-#     fn=generate,
-#     chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
-#     additional_inputs=additional_inputs,
-#     title="Mixtral 46.7B",
-#     examples=examples,
-#     concurrency_limit=20,
-# ).launch(show_api= True)
-
-
 from huggingface_hub import InferenceClient
 import gradio as gr
-from PyPDF2 import PdfReader
 
 client = InferenceClient(
     "mistralai/Mixtral-8x7B-Instruct-v0.1"
 )
 
-def format_prompt(message, history):
-    prompt = "<s>"
-    for user_prompt, bot_response in history:
-        prompt += f"[INST] {user_prompt} [/INST]"
-        prompt += f" {bot_response}</s> "
-    prompt += f"[INST] {message} [/INST]"
-    return prompt
-
-def extract_text_from_pdf(pdf_file):
-    text = ""
-    pdf_reader = PdfReader(pdf_file)
-    for page in pdf_reader.pages:
-        text += page.extract_text()
-    return text
 
-def generate(prompt, history, system_prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0, pdf_text=None):
+def format_prompt(message, history):
+  prompt = "<s>"
+  for user_prompt, bot_response in history:
+    prompt += f"[INST] {user_prompt} [/INST]"
+    prompt += f" {bot_response}</s> "
+  prompt += f"[INST] {message} [/INST]"
+  return prompt
+
+def generate(
+    prompt, history, system_prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0,
+):
     temperature = float(temperature)
     if temperature < 1e-2:
         temperature = 1e-2
@@ -142,9 +32,6 @@ def generate(prompt, history, system_prompt, temperature=0.9, max_new_tokens=256
     )
 
     formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
-    if pdf_text:
-        formatted_prompt += pdf_text
-
     stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
     output = ""
 
@@ -153,13 +40,13 @@ def generate(prompt, history, system_prompt, temperature=0.9, max_new_tokens=256
         yield output
     return output
 
+
 additional_inputs=[
     gr.Textbox(
         label="System Prompt",
         max_lines=1,
         interactive=True,
     ),
-    gr.File("file", label="Upload PDF"),
     gr.Slider(
         label="Temperature",
         value=0.9,
@@ -198,14 +85,13 @@ additional_inputs=[
     )
 ]
 
-examples=[
-    ["I'm planning a vacation to Japan. Can you suggest a one-week itinerary including must-visit places and local cuisines to try?", None, None, None, None, None, ],
-    ["Can you write a short story about a time-traveling detective who solves historical mysteries?", None, None, None, None, None,],
-    ["I'm trying to learn French. Can you provide some common phrases that would be useful for a beginner, along with their pronunciations?", None, None, None, None, None,],
-    ["I have chicken, rice, and bell peppers in my kitchen. Can you suggest an easy recipe I can make with these ingredients?", None, None, None, None, None,],
-    ["Can you explain how the QuickSort algorithm works and provide a Python implementation?", None, None, None, None, None,],
-    ["What are some unique features of Rust that make it stand out compared to other systems programming languages like C++?", None, None, None, None, None,],
-]
+examples=[["I'm planning a vacation to Japan. Can you suggest a one-week itinerary including must-visit places and local cuisines to try?", None, None, None, None, None, ],
+          ["Can you write a short story about a time-traveling detective who solves historical mysteries?", None, None, None, None, None,],
+          ["I'm trying to learn French. Can you provide some common phrases that would be useful for a beginner, along with their pronunciations?", None, None, None, None, None,],
+          ["I have chicken, rice, and bell peppers in my kitchen. Can you suggest an easy recipe I can make with these ingredients?", None, None, None, None, None,],
+          ["Can you explain how the QuickSort algorithm works and provide a Python implementation?", None, None, None, None, None,],
+          ["What are some unique features of Rust that make it stand out compared to other systems programming languages like C++?", None, None, None, None, None,],
+         ]
 
 gr.ChatInterface(
     fn=generate,