Update app.py

frst attempt prompt from string

app.py

@@ -4,6 +4,8 @@ import shutil
 from groq import Groq
 import gradio as gr
 from pydub import AudioSegment
+import re
+
 
 # Initialize the Groq client
 client = Groq(api_key=os.environ["keko"]) 
@@ -248,16 +250,38 @@ def transcribe_audio(audio_file):
  
 
 
+
+
+
+## function to parse text into dictionary of prompts
+def parse_text_to_dict(text):
+    sections = re.split(r"\n#/\s*", text.strip())  # Split only at "#/"
+    parsed_dict = {}
+
+    for section in sections:
+        if not section.strip():  # Skip empty sections
+            continue
+        lines = section.split("\n", 1)  # Split into title and content
+        title = lines[0].strip().lstrip("#/ ")  # Ensure "#/" is removed
+        content = lines[1].strip() if len(lines) > 1 else ""  # Remaining text is the value
+        parsed_dict[title] = content
+
+    return parsed_dict
+
+# load the prompts:
+
+with open("primpts.txt", "r", encoding="utf-8") as file:
+    contentt = file.read()
+
+contentt = parse_text_to_dict(contentt)
+
+
+
 def generate_text(text, prompt_type):
     if not text:
         return "No text provided."
     
-    prompts = {
-        "dic_clean":"You will receive a chunk of dictated text (via speech to text), domain is likely medical/gastroenterology. correct the text while maintaining the original tone and style but correct spelling and replace punctuation and newline wordings. Also follow inline corrections as dictated by the user (eg delete, replace, go back, rewrite, etc...).  pay attention to correct gender he/she throughout to make sure it matches. pay attention to words that could have been mis transcribed during the speech to text conversion and correct it to the best of your ability. if you are uncertain about a word, put it in doube square brackets. The output should be the corrected text only, without any quotes or comments or feedback.",
-        "summarize": "You are an AI assistant specialized in summarizing text. Provide a concise summary of the given text.",
-        "create_qa": "You are an AI assistant specialized in creating Q&A pairs. Generate relevant questions and answers based on the given text.",
-        "analyze": "You are an AI assistant specialized in text analysis. Analyze the main points and key ideas of the given text."
-    }
+    prompts = contentt
     
     selected_prompt = prompts.get(prompt_type, "You are a helpful assistant. Process the following text.")
     
@@ -340,9 +364,9 @@ with gr.Blocks(title="Audio Recorder, Transcriber, and Text Generator") as demo:
         
         with gr.Row():
             prompt_type = gr.Dropdown(
-                choices=["dic_clean", "summarize", "create_qa", "analyze"],
+                choices=list(prompts.keys()),  # Get dictionary keys as choices
                 label="Select Text Generation Type",
-                value="dic_clean"
+                value=list(prompts.keys())[0]  # Default to the first key
             )
             generate_btn = gr.Button("Generate Text")