Update app.py

app.py

@@ -1,96 +1,93 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-# Constants for configuration
-MODEL_ID = "deepseek-ai/DeepSeek-V4-Flash"
+MODEL_ID = "Qwen/Qwen2.5-Coder-32B-Instruct"
+
+# Tailored system prompt for a fellow modder
 DEFAULT_SYSTEM_PROMPT = (
-    "You are an expert PC troubleshooter. Analyze crash logs, GPU issues, "
-    "and driver errors with technical precision. Provide clear, step-by-step fixes."
-)
+    "ROLE:\n"
+    "You are an Elite Minecraft Modding and Environment Diagnostician.\n"
+    "The user is an experienced modder. Do NOT provide basic IT advice.\n\n"
 
-def respond(
-    message,
-    history: list[dict[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-    hf_token: gr.OAuthToken,
-):
-    """
-    Handles the chat logic using Hugging Face Inference API with DeepSeek-V4.
-    """
-    # Use provided OAuth token or fall back to local environment token
-    client = InferenceClient(
-        token=hf_token.token if hf_token else None, 
-        model=MODEL_ID
-    )
+    "GOAL:\n"
+    "Analyze Minecraft crash reports (latest.log, crash-reports, hs_err_pid) and pinpoint the exact root cause.\n"
+    "Identify whether the issue is caused by a specific mod, mod conflict, library, JVM configuration, or hardware/driver issue.\n\n"
+
+    "KNOWLEDGE DOMAINS:\n"
+    "1. Java/JVM & Environment:\n"
+    "- Detect incorrect Java versions (Java 8 vs 17 vs 21 mismatches).\n"
+    "- Identify GC overhead errors, invalid JVM flags, and memory leaks.\n"
+    "- Diagnose hs_err_pid crashes (native crashes, lwjgl corruption).\n\n"
+
+    "2. Hardware & OS:\n"
+    "- Diagnose EXCEPTION_ACCESS_VIOLATION (0xc0000005).\n"
+    "- Detect GL_OUT_OF_MEMORY and OpenGL issues.\n"
+    "- Identify wrong GPU usage (integrated vs dedicated).\n"
+    "- Detect outdated or incompatible graphics drivers.\n\n"
 
-    # Construct the message payload
+    "3. Modloader & Mixins:\n"
+    "- Trace NoSuchMethodError, ClassNotFoundException, AbstractMethodError to exact modid.\n"
+    "- Analyze Mixin conflicts, failed injections, OVERWRITE/REDIRECT failures.\n"
+    "- Detect duplicate or incompatible mods.\n\n"
+
+    "4. Rendering Conflicts:\n"
+    "- Detect conflicts between OptiFine, Sodium/Rubidium/Embeddium, Iris/Oculus.\n\n"
+
+    "5. Data/Config Issues:\n"
+    "- Detect malformed JSON configs.\n"
+    "- Identify corrupted world data (level.dat).\n"
+    "- Detect missing dependencies or broken datapacks.\n\n"
+
+    "CONSTRAINTS:\n"
+    "- Do NOT guess.\n"
+    "- Do NOT hallucinate mod names or file paths.\n"
+    "- If stack trace shows net.minecraft.*, scan deeper to find injected mod.\n"
+    "- In Mixin conflicts, identify the actual instigator.\n"
+    "- Be concise and technical.\n\n"
+
+    "OUTPUT FORMAT:\n"
+    "1. Root Cause: One-line exact failure source.\n"
+    "2. Evidence: Exact log line, stack trace, or error code.\n"
+    "3. Fix: Direct actionable solution.\n"
+)
+
+def respond(message, history, system_message, max_tokens, temperature, top_p, hf_token: gr.OAuthToken):
+    client = InferenceClient(token=hf_token.token if hf_token else None, model=MODEL_ID)
+    
     messages = [{"role": "system", "content": system_message}]
-    messages.extend(history)
+    for val in history:
+        if val[0]: messages.append({"role": "user", "content": val[0]})
+        if val[1]: messages.append({"role": "assistant", "content": val[1]})
     messages.append({"role": "user", "content": message})
 
     response = ""
-
-    # Stream the response from DeepSeek
     try:
+        # Qwen models are very fast on the HF API
         for message_chunk in client.chat_completion(
-            messages,
-            max_tokens=max_tokens,
-            stream=True,
-            temperature=temperature,
-            top_p=top_p,
+            messages, max_tokens=max_tokens, stream=True, temperature=temperature, top_p=top_p
         ):
             token = message_chunk.choices[0].delta.content or ""
             response += token
             yield response
     except Exception as e:
-        yield f"Error connecting to DeepSeek-V4: {str(e)}"
-
-# Define the Gradio ChatInterface
-chatbot = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(
-            value=DEFAULT_SYSTEM_PROMPT, 
-            label="System message"
-        ),
-        gr.Slider(
-            minimum=1, 
-            maximum=8192, 
-            value=4096, 
-            step=1, 
-            label="Max new tokens (High recommended for DeepSeek)"
-        ),
-        gr.Slider(
-            minimum=0.1, 
-            maximum=2.0, 
-            value=0.6, 
-            step=0.1, 
-            label="Temperature"
-        ),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.9,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
+        yield f"API Error: {str(e)}. Check if your HF Token is valid or if the model is currently loading."
 
-# Assemble the UI with a Sidebar for Login
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
+# Gradio Interface
+with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
+    gr.Markdown("# 🛠️ Minecraft Modding Log Analyzer")
+    
     with gr.Sidebar():
-        gr.Markdown("### Authentication")
         gr.LoginButton()
-        gr.Markdown(
-            "Logging in with Hugging Face allows you to use the Inference API "
-            "directly with your own account quota."
-        )
-    
-    chatbot.render()
+        gr.Markdown("---")
+        system_msg = gr.Textbox(value=DEFAULT_SYSTEM_PROMPT, label="Modder Persona", lines=5)
+        tokens = gr.Slider(128, 8192, value=2048, label="Max Log Length")
+        temp = gr.Slider(0.1, 1.0, value=0.3, label="Creativity (Keep low for logs)")
+        top_p = gr.Slider(0.1, 1.0, value=0.9, label="Top-P")
+
+    gr.ChatInterface(
+        respond,
+        additional_inputs=[system_msg, tokens, temp, top_p],
+    )
 
 if __name__ == "__main__":
     demo.launch()