Update app.py

app.py

@@ -7,107 +7,85 @@ 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 tokenize_sentences(file_content):
     sentences = sent_tokenize(file_content.decode())
     return sentences
 
-def generate_synthetic_data(prompt, sentences):
+def generate_synthetic_data(prompt, sentences, data_size, toxicity_level, use_emoji):
     synthetic_data = []
-    for sentence in sentences:
+    for sentence in sentences[:data_size]:
         # Apply the prompt instructions to generate synthetic data from the sentence
         synthetic_sentence = f"{prompt}: {sentence}"
+        
+        # Adjust toxicity level
+        if toxicity_level == "High":
+            synthetic_sentence = add_toxic_content(synthetic_sentence)
+        elif toxicity_level == "Low":
+            synthetic_sentence = remove_toxic_content(synthetic_sentence)
+        
+        # Add or remove emoji
+        if use_emoji:
+            synthetic_sentence = add_emojis(synthetic_sentence)
+        else:
+            synthetic_sentence = remove_emojis(synthetic_sentence)
+        
         synthetic_data.append(synthetic_sentence)
     return "\n".join(synthetic_data)
 
-def generate(
-    prompt, history, system_prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0, files=None
-):
-    temperature = float(temperature)
-    if temperature < 1e-2:
-        temperature = 1e-2
-    top_p = float(top_p)
+def add_toxic_content(text):
+    # Add code to make the text more toxic
+    return text
 
-    generate_kwargs = dict(
-        temperature=temperature,
-        max_new_tokens=max_new_tokens,
-        top_p=top_p,
-        repetition_penalty=repetition_penalty,
-        do_sample=True,
-        seed=42,
-    )
+def remove_toxic_content(text):
+    # Add code to remove toxic content from the text
+    return text
 
-    formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
+def add_emojis(text):
+    # Add code to add emojis to the text
+    return text
 
+def remove_emojis(text):
+    # Add code to remove emojis from the text
+    return text
+
+def generate(prompt, max_data_size=100, toxicity_level="Neutral", use_emoji=False, files=None):
     if files is not None:
         file_contents = [file.decode() for file in files]
         sentences = []
         for content in file_contents:
             sentences.extend(tokenize_sentences(content))
-        synthetic_data = generate_synthetic_data(prompt, sentences)
-        formatted_prompt += f"\n\nSynthetic data: {synthetic_data}"
-
-    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
+        synthetic_data = generate_synthetic_data(prompt, sentences, max_data_size, toxicity_level, use_emoji)
+        return synthetic_data
+    else:
+        return "Please upload a file to generate synthetic data."
 
 additional_inputs=[
-    gr.Textbox(
-        label="System Prompt",
-        max_lines=1,
-        interactive=True,
-    ),
     gr.Textbox(
         label="Prompt for Synthetic Data Generation",
         max_lines=1,
         interactive=True,
     ),
     gr.Slider(
-        label="Temperature",
-        value=0.9,
-        minimum=0.0,
-        maximum=1.0,
-        step=0.05,
+        label="Max Data Size",
+        value=100,
+        minimum=10,
+        maximum=1000,
+        step=10,
         interactive=True,
-        info="Higher values produce more diverse outputs",
+        info="The maximum number of sentences to include in the synthetic data",
     ),
-    gr.Slider(
-        label="Max new tokens",
-        value=256,
-        minimum=0,
-        maximum=5120,
-        step=64,
+    gr.Radio(
+        label="Toxicity Level",
+        choices=["High", "Low", "Neutral"],
+        value="Neutral",
         interactive=True,
-        info="The maximum numbers of new tokens",
+        info="Adjust the toxicity level of the synthetic data",
     ),
-    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,
+    gr.Checkbox(
+        label="Use Emoji",
+        value=False,
         interactive=True,
-        info="Penalize repeated tokens",
+        info="Add or remove emojis in the synthetic data",
     ),
     gr.File(
         label="Upload PDF or Document",
@@ -117,10 +95,10 @@ additional_inputs=[
     )
 ]
 
-gr.ChatInterface(
+gr.Interface(
     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=additional_inputs,
+    outputs="text",
     title="Synthetic-data-generation-aze",
-    concurrency_limit=20,
+    description="Generate synthetic data from uploaded files based on a given prompt and customization options.",
 ).launch(show_api=False)