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mgbam commited on 1 day ago

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3a43332

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1 Parent(s): e5b401d

Update api_clients.py

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api_clients.py +155 -155

api_clients.py CHANGED Viewed

@@ -1,156 +1,156 @@
-import os
-from typing import Dict, List, Optional, Tuple
-import gradio as gr
-from huggingface_hub import InferenceClient
-from tavily import TavilyClient
-from config import (
-    HTML_SYSTEM_PROMPT, GENERIC_SYSTEM_PROMPT, HTML_SYSTEM_PROMPT_WITH_SEARCH,
-    GENERIC_SYSTEM_PROMPT_WITH_SEARCH, FollowUpSystemPrompt
-)
-from chat_processing import (
-    history_to_messages, messages_to_history,
-    remove_code_block, apply_search_replace_changes, send_to_sandbox,
-    history_to_chatbot_messages, get_gradio_language
-)
-from file_processing import (  # file_processing.py
-    extract_text_from_file, create_multimodal_message,
-)
-from web_extraction import extract_website_content
-# HF Inference Client
-HF_TOKEN = os.getenv('HF_TOKEN')
-def get_inference_client(model_id):
-    """Return an InferenceClient with provider based on model_id."""
-    provider = "groq" if model_id == "moonshotai/Kimi-K2-Instruct" else "auto"
-    return InferenceClient(
-        provider=provider,
-        api_key=HF_TOKEN,
-        bill_to="huggingface"
-    )
-# Tavily Search Client
-TAVILY_API_KEY = os.getenv('TAVILY_API_KEY')
-tavily_client = None
-if TAVILY_API_KEY:
-    try:
-        tavily_client = TavilyClient(api_key=TAVILY_API_KEY)
-    except Exception as e:
-        print(f"Failed to initialize Tavily client: {e}")
-        tavily_client = None
-def generation_code(query: Optional[str], image: Optional[gr.Image], file: Optional[str], website_url: Optional[str], _setting: Dict[str, str], _history: Optional[List[Tuple[str, str]]], _current_model: Dict, enable_search: bool = False, language: str = "html"):
-    if query is None:
-        query = ''
-    if _history is None:
-        _history = []
-    # Check if there's existing HTML content in history to determine if this is a modification request
-    has_existing_html = False
-    if _history:
-        # Check the last assistant message for HTML content
-        last_assistant_msg = _history[-1][1] if len(_history) > 0 else ""
-        if '<!DOCTYPE html>' in last_assistant_msg or '<html' in last_assistant_msg:
-            has_existing_html = True
-    # Choose system prompt based on context
-    if has_existing_html:
-        # Use follow-up prompt for modifying existing HTML
-        system_prompt = FollowUpSystemPrompt
-    else:
-        # Use language-specific prompt
-        if language == "html":
-            system_prompt = HTML_SYSTEM_PROMPT_WITH_SEARCH if enable_search else HTML_SYSTEM_PROMPT
-        else:
-            system_prompt = GENERIC_SYSTEM_PROMPT_WITH_SEARCH.format(language=language) if enable_search else GENERIC_SYSTEM_PROMPT.format(language=language)
-    messages = history_to_messages(_history, system_prompt)
-    # Extract file text and append to query if file is present
-    file_text = ""
-    if file:
-        file_text = extract_text_from_file(file)
-        if file_text:
-            file_text = file_text[:5000]  # Limit to 5000 chars for prompt size
-            query = f"{query}\n\n[Reference file content below]\n{file_text}"
-    # Extract website content and append to query if website URL is present
-    website_text = ""
-    if website_url and website_url.strip():
-        website_text = extract_website_content(website_url.strip())
-        if website_text and not website_text.startswith("Error"):
-            website_text = website_text[:8000]  # Limit to 8000 chars for prompt size
-            query = f"{query}\n\n[Website content to redesign below]\n{website_text}"
-        elif website_text.startswith("Error"):
-            # Provide helpful guidance when website extraction fails
-            fallback_guidance = """
-Since I couldn't extract the website content, please provide additional details about what you'd like to build:
-1. What type of website is this? (e.g., e-commerce, blog, portfolio, dashboard)
-2. What are the main features you want?
-3. What's the target audience?
-4. Any specific design preferences? (colors, style, layout)
-This will help me create a better design for you."""
-            query = f"{query}\n\n[Error extracting website: {website_text}]{fallback_guidance}"
-    # Enhance query with search if enabled
-    enhanced_query = enhance_query_with_search(query, enable_search)
-    # Use dynamic client based on selected model
-    client = get_inference_client(_current_model["id"])
-    if image is not None:
-        messages.append(create_multimodal_message(enhanced_query, image))
-    else:
-        messages.append({'role': 'user', 'content': enhanced_query})
-    try:
-        completion = client.chat.completions.create(
-            model=_current_model["id"],
-            messages=messages,
-            stream=True,
-            max_tokens=5000
-        )
-        content = ""
-        for chunk in completion:
-            if chunk.choices[0].delta.content:
-                content += chunk.choices[0].delta.content
-                clean_code = remove_code_block(content)
-                if has_existing_html:
-                    # Fallback: If the model returns a full HTML file, use it directly
-                    if clean_code.strip().startswith("<!DOCTYPE html>") or clean_code.strip().startswith("<html"):
-                        yield {
-                            "code_output": gr.update(value=clean_code, language=get_gradio_language(language)),
-                            "history_output": history_to_chatbot_messages(_history),
-                            "sandbox": send_to_sandbox(clean_code) if language == "html" else "<div style='padding:1em;color:#888;text-align:center;'>Preview is only available for HTML. Please download your code using the download button above.</div>",
-                        }
-                    else:
-                        last_html = _history[-1][1] if _history else ""
-                        modified_html = apply_search_replace_changes(last_html, clean_code)
-                        clean_html = remove_code_block(modified_html)
-                        yield {
-                            "code_output": gr.update(value=clean_html, language=get_gradio_language(language)),
-                            "history_output": history_to_chatbot_messages(_history),
-                            "sandbox": send_to_sandbox(clean_html) if language == "html" else "<div style='padding:1em;color:#888;text-align:center;'>Preview is only available for HTML. Please download your code using the download button above.</div>",
-                        }
-                else:
-                    yield {
-                        "code_output": gr.update(value=clean_code, language=get_gradio_language(language)),
-                        "history_output": history_to_chatbot_messages(_history),
-                        "sandbox": send_to_sandbox(clean_code) if language == "html" else "<div style='padding:1em;color:#888;text-align:center;'>Preview is only available for HTML. Please download your code using the download button above.</div>",
-                    }
-        # Final update
-        _history = messages_to_history(messages + [{'role': 'assistant', 'content': content}])
-        yield {
-            "code_output": remove_code_block(content),
-            "history": _history,
-            "sandbox": send_to_sandbox(remove_code_block(content)),
-            "history_output": history_to_chatbot_messages(_history),
-        }
-    except Exception as e:
-        error_message = f"Error: {str(e)}"
-        yield {
-            "code_output": error_message,
-            "history_output": history_to_chatbot_messages(_history),
         }

+import os
+from typing import Dict, List, Optional, Tuple
+import gradio as gr
+from huggingface_hub import InferenceClient
+from tavily import TavilyClient
+from config import (
+    HTML_SYSTEM_PROMPT, GENERIC_SYSTEM_PROMPT, HTML_SYSTEM_PROMPT_WITH_SEARCH,
+    GENERIC_SYSTEM_PROMPT_WITH_SEARCH, FollowUpSystemPrompt
+)
+from chat_processing import (
+    history_to_messages, messages_to_history,
+    remove_code_block, apply_search_replace_changes, send_to_sandbox,
+    history_to_chatbot_messages, get_gradio_language
+)
+from file_processing import (  # file_processing.py
+    extract_text_from_file, create_multimodal_message,
+)
+from web_extraction import extract_website_content, enhance_query_with_search
+# HF Inference Client
+HF_TOKEN = os.getenv('HF_TOKEN')
+def get_inference_client(model_id):
+    """Return an InferenceClient with provider based on model_id."""
+    provider = "groq" if model_id == "moonshotai/Kimi-K2-Instruct" else "auto"
+    return InferenceClient(
+        provider=provider,
+        api_key=HF_TOKEN,
+        bill_to="huggingface"
+    )
+# Tavily Search Client
+TAVILY_API_KEY = os.getenv('TAVILY_API_KEY')
+tavily_client = None
+if TAVILY_API_KEY:
+    try:
+        tavily_client = TavilyClient(api_key=TAVILY_API_KEY)
+    except Exception as e:
+        print(f"Failed to initialize Tavily client: {e}")
+        tavily_client = None
+def generation_code(query: Optional[str], image: Optional[gr.Image], file: Optional[str], website_url: Optional[str], _setting: Dict[str, str], _history: Optional[List[Tuple[str, str]]], _current_model: Dict, enable_search: bool = False, language: str = "html"):
+    if query is None:
+        query = ''
+    if _history is None:
+        _history = []
+    # Check if there's existing HTML content in history to determine if this is a modification request
+    has_existing_html = False
+    if _history:
+        # Check the last assistant message for HTML content
+        last_assistant_msg = _history[-1][1] if len(_history) > 0 else ""
+        if '<!DOCTYPE html>' in last_assistant_msg or '<html' in last_assistant_msg:
+            has_existing_html = True
+    # Choose system prompt based on context
+    if has_existing_html:
+        # Use follow-up prompt for modifying existing HTML
+        system_prompt = FollowUpSystemPrompt
+    else:
+        # Use language-specific prompt
+        if language == "html":
+            system_prompt = HTML_SYSTEM_PROMPT_WITH_SEARCH if enable_search else HTML_SYSTEM_PROMPT
+        else:
+            system_prompt = GENERIC_SYSTEM_PROMPT_WITH_SEARCH.format(language=language) if enable_search else GENERIC_SYSTEM_PROMPT.format(language=language)
+    messages = history_to_messages(_history, system_prompt)
+    # Extract file text and append to query if file is present
+    file_text = ""
+    if file:
+        file_text = extract_text_from_file(file)
+        if file_text:
+            file_text = file_text[:5000]  # Limit to 5000 chars for prompt size
+            query = f"{query}\n\n[Reference file content below]\n{file_text}"
+    # Extract website content and append to query if website URL is present
+    website_text = ""
+    if website_url and website_url.strip():
+        website_text = extract_website_content(website_url.strip())
+        if website_text and not website_text.startswith("Error"):
+            website_text = website_text[:8000]  # Limit to 8000 chars for prompt size
+            query = f"{query}\n\n[Website content to redesign below]\n{website_text}"
+        elif website_text.startswith("Error"):
+            # Provide helpful guidance when website extraction fails
+            fallback_guidance = """
+Since I couldn't extract the website content, please provide additional details about what you'd like to build:
+1. What type of website is this? (e.g., e-commerce, blog, portfolio, dashboard)
+2. What are the main features you want?
+3. What's the target audience?
+4. Any specific design preferences? (colors, style, layout)
+This will help me create a better design for you."""
+            query = f"{query}\n\n[Error extracting website: {website_text}]{fallback_guidance}"
+    # Enhance query with search if enabled
+    enhanced_query = enhance_query_with_search(query, enable_search)
+    # Use dynamic client based on selected model
+    client = get_inference_client(_current_model["id"])
+    if image is not None:
+        messages.append(create_multimodal_message(enhanced_query, image))
+    else:
+        messages.append({'role': 'user', 'content': enhanced_query})
+    try:
+        completion = client.chat.completions.create(
+            model=_current_model["id"],
+            messages=messages,
+            stream=True,
+            max_tokens=5000
+        )
+        content = ""
+        for chunk in completion:
+            if chunk.choices[0].delta.content:
+                content += chunk.choices[0].delta.content
+                clean_code = remove_code_block(content)
+                if has_existing_html:
+                    # Fallback: If the model returns a full HTML file, use it directly
+                    if clean_code.strip().startswith("<!DOCTYPE html>") or clean_code.strip().startswith("<html"):
+                        yield {
+                            "code_output": gr.update(value=clean_code, language=get_gradio_language(language)),
+                            "history_output": history_to_chatbot_messages(_history),
+                            "sandbox": send_to_sandbox(clean_code) if language == "html" else "<div style='padding:1em;color:#888;text-align:center;'>Preview is only available for HTML. Please download your code using the download button above.</div>",
+                        }
+                    else:
+                        last_html = _history[-1][1] if _history else ""
+                        modified_html = apply_search_replace_changes(last_html, clean_code)
+                        clean_html = remove_code_block(modified_html)
+                        yield {
+                            "code_output": gr.update(value=clean_html, language=get_gradio_language(language)),
+                            "history_output": history_to_chatbot_messages(_history),
+                            "sandbox": send_to_sandbox(clean_html) if language == "html" else "<div style='padding:1em;color:#888;text-align:center;'>Preview is only available for HTML. Please download your code using the download button above.</div>",
+                        }
+                else:
+                    yield {
+                        "code_output": gr.update(value=clean_code, language=get_gradio_language(language)),
+                        "history_output": history_to_chatbot_messages(_history),
+                        "sandbox": send_to_sandbox(clean_code) if language == "html" else "<div style='padding:1em;color:#888;text-align:center;'>Preview is only available for HTML. Please download your code using the download button above.</div>",
+                    }
+        # Final update
+        _history = messages_to_history(messages + [{'role': 'assistant', 'content': content}])
+        yield {
+            "code_output": remove_code_block(content),
+            "history": _history,
+            "sandbox": send_to_sandbox(remove_code_block(content)),
+            "history_output": history_to_chatbot_messages(_history),
+        }
+    except Exception as e:
+        error_message = f"Error: {str(e)}"
+        yield {
+            "code_output": error_message,
+            "history_output": history_to_chatbot_messages(_history),
         }