rahul7star commited on
Commit
11f9924
·
verified ·
1 Parent(s): ad2de89

Update app_qwen_tts.py

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Files changed (1) hide show
  1. app_qwen_tts.py +17 -18
app_qwen_tts.py CHANGED
@@ -21,7 +21,6 @@ TTS_API_URL = "https://rahul7star-Chatterbox-Multilingual-TTS-API.hf.space/tts"
21
  # =========================================================
22
  BASE_DIR = os.path.dirname(os.path.abspath(__file__))
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  DOC_PATH = os.path.join(BASE_DIR, DOC_FILE)
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-
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  if not os.path.exists(DOC_PATH):
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  raise RuntimeError(f"❌ {DOC_FILE} not found next to app.py")
27
 
@@ -62,7 +61,7 @@ DOC_CHUNKS = chunk_text(DOC_TEXT)
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  DOC_EMBEDS = embedder.encode(DOC_CHUNKS, normalize_embeddings=True, show_progress_bar=True)
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  # =========================================================
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- # Retrieve context
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  # =========================================================
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  def retrieve_context(question, k=TOP_K):
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  q_emb = embedder.encode([question], normalize_embeddings=True)
@@ -83,7 +82,7 @@ def extract_final_answer(text: str) -> str:
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  return lines[-1] if lines else text
84
 
85
  # =========================================================
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- # Generate text answer
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  # =========================================================
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  def answer_question(question):
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  context = retrieve_context(question)
@@ -113,12 +112,13 @@ def answer_question(question):
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  return extract_final_answer(decoded)
114
 
115
  # =========================================================
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- # Call TTS API and get audio path
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  # =========================================================
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  def tts_via_api(text: str):
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  try:
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  payload = {"text": text}
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- resp = requests.post(TTS_API_URL, json=payload, timeout=60)
 
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  resp.raise_for_status()
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  data = resp.json()
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  audio_b64 = data.get("audio", "")
@@ -134,29 +134,26 @@ def tts_via_api(text: str):
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  return None
135
 
136
  # =========================================================
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- # Gradio Chat function
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  # =========================================================
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  def chat(user_message, history):
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  if not user_message.strip():
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  return "", history
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-
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  try:
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- # Generate text
 
 
 
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  answer_text = answer_question(user_message)
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- # Generate audio
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  audio_path = tts_via_api(answer_text)
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- # Append tuple: (text, audio)
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- history.append((f"**Bot:** {answer_text}", audio_path))
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-
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- # Append user message
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- history.append((f"**You:** {user_message}", None))
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-
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  except Exception as e:
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  print(e)
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- history.append(("⚠️ Error generating response", None))
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-
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  return "", history
161
 
162
  def reset_chat():
@@ -167,9 +164,11 @@ def reset_chat():
167
  # =========================================================
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  def build_ui():
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  with gr.Blocks(theme=gr.themes.Soft()) as demo:
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- gr.Markdown("# 📄 Qwen Document Assistant + TTS\nAsk questions and listen to answers.")
171
 
 
172
  chatbot = gr.Chatbot(height=450, type="tuples")
 
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  msg = gr.Textbox(placeholder="Ask a question...", lines=2)
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  send = gr.Button("Send")
175
  clear = gr.Button("🧹 Clear")
 
21
  # =========================================================
22
  BASE_DIR = os.path.dirname(os.path.abspath(__file__))
23
  DOC_PATH = os.path.join(BASE_DIR, DOC_FILE)
 
24
  if not os.path.exists(DOC_PATH):
25
  raise RuntimeError(f"❌ {DOC_FILE} not found next to app.py")
26
 
 
61
  DOC_EMBEDS = embedder.encode(DOC_CHUNKS, normalize_embeddings=True, show_progress_bar=True)
62
 
63
  # =========================================================
64
+ # Retrieval
65
  # =========================================================
66
  def retrieve_context(question, k=TOP_K):
67
  q_emb = embedder.encode([question], normalize_embeddings=True)
 
82
  return lines[-1] if lines else text
83
 
84
  # =========================================================
85
+ # Generate text
86
  # =========================================================
87
  def answer_question(question):
88
  context = retrieve_context(question)
 
112
  return extract_final_answer(decoded)
113
 
114
  # =========================================================
115
+ # TTS API call
116
  # =========================================================
117
  def tts_via_api(text: str):
118
  try:
119
  payload = {"text": text}
120
+ # no timeout, allow long requests
121
+ resp = requests.post(TTS_API_URL, json=payload)
122
  resp.raise_for_status()
123
  data = resp.json()
124
  audio_b64 = data.get("audio", "")
 
134
  return None
135
 
136
  # =========================================================
137
+ # Gradio chat
138
  # =========================================================
139
  def chat(user_message, history):
140
  if not user_message.strip():
141
  return "", history
 
142
  try:
143
+ # 1️⃣ User text
144
+ history.append((user_message, None)) # None placeholder for bot column
145
+
146
+ # 2️⃣ Generate answer text
147
  answer_text = answer_question(user_message)
148
 
149
+ # 3️⃣ Generate audio
150
  audio_path = tts_via_api(answer_text)
151
 
152
+ # 4️⃣ Append bot response
153
+ history.append((None, (answer_text, audio_path))) # user=None, bot=(text, audio)
 
 
 
 
154
  except Exception as e:
155
  print(e)
156
+ history.append((None, ("⚠️ Error generating response", None)))
 
157
  return "", history
158
 
159
  def reset_chat():
 
164
  # =========================================================
165
  def build_ui():
166
  with gr.Blocks(theme=gr.themes.Soft()) as demo:
167
+ gr.Markdown("# 📄 Qwen Document Assistant + TTS\nAsk a question and listen to the answer.")
168
 
169
+ # Chat history: left=User, right=Bot
170
  chatbot = gr.Chatbot(height=450, type="tuples")
171
+
172
  msg = gr.Textbox(placeholder="Ask a question...", lines=2)
173
  send = gr.Button("Send")
174
  clear = gr.Button("🧹 Clear")