Update app.py

app.py

@@ -1,22 +1,21 @@
 from huggingface_hub import InferenceClient
 import gradio as gr
+import pandas as pd
 
-client = InferenceClient(
-    "mistralai/Mixtral-8x7B-Instruct-v0.1"
-)
-
+# Inference client initialization
+client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
 
+# Function to format the prompt
 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
+    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,
-):
+# Function to generate text based on prompt and history
+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
@@ -31,7 +30,10 @@ def generate(
         seed=42,
     )
 
+    # Format the prompt
     formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
+
+    # Generate text using InferenceClient
     stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
     output = ""
 
@@ -40,58 +42,43 @@ def generate(
         yield output
     return output
 
-
+# Additional input components for Gradio interface
 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=5120,
-        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",
-    )
+    gr.File(label="Upload CSV or Document", type="upload", accept=".csv,.txt", max_size=2147483648),  # Max file size is 2 GB
+    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=5120, 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")
 ]
 
+# Function to read uploaded CSV or Document
+def read_file(file):
+    if file is None:
+        return None
+    elif file.name.endswith('.csv'):
+        return pd.read_csv(file)
+    elif file.name.endswith('.txt'):
+        with open(file.name, 'r') as f:
+            return f.read()
 
-
+# Gradio Chat Interface
 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,
+    inputs=[
+        gr.Textbox(label="Prompt"),
+        gr.Textbox(label="History", placeholder="User1: Hello\nBot: Hi there!\nUser1: How are you?"),
+        gr.Textbox(label="System Prompt"),
+    ],
+    outputs=gr.Textbox(label="Response"),
     title="Synthetic-data-generation-aze",
-    concurrency_limit=20,
-).launch(show_api=False)
-
+    additional_inputs=additional_inputs,
+    examples=[
+        ["What is the capital of France?", "Paris", "Ask me anything"],
+        ["How are you?", "I'm good, thank you!", "User"],
+    ],
+    allow_flagging=False,
+    allow_upvoting=False,
+    allow_duplicate_of_same_input=False,
+    flagging_options=["Inappropriate", "Incorrect", "Offensive"],
+    thumbs=None,
+).launch()