added reverse tools

app.py

@@ -5,7 +5,7 @@ import inspect
 import pandas as pd
 from smolagents import CodeAgent, InferenceClientModel, DuckDuckGoSearchTool, tool
 from smolagents import OpenAIServerModel
-from youtube_transcript_api import YouTubeTranscriptApi
+from tools import analyze_image, get_youtube_transcript, reverse_text
 
 
 # (Keep Constants as is)
@@ -23,52 +23,6 @@ class BasicAgent:
         print(f"Agent returning fixed answer: {fixed_answer}")
         return fixed_answer
 
-        
-@tool
-def analyze_image(question: str, image_url: str) -> str:
-    """
-    Analyze an image using OpenAI's API.
-    Args:
-        question (str): The question to ask about the image. eg. "What is in this image?"
-        image_url (str): The URL of the image to analyze.
-    """
-    client = OpenAI()
-
-    response = client.responses.create(
-        model="gpt-4o-mini",
-        input=[
-            {
-                "role": "user",
-                "content": [
-                    { "type": "input_text", "text": f"{question}" },
-                    {
-                        "type": "input_image",
-                        "image_url": f"{image_url}",
-                    }
-                ]
-            }
-        ]
-    )
-
-    return response
-
-@tool
-# a function to get youtube transcript from video id
-def get_youtube_transcript(video_id: str) -> str:
-    """
-    Fetches the transcript of a YouTube video given its video ID.    
-    Args:
-        video_id (str): The ID of the YouTube video. Pass in the video ID, NOT the video URL. For a video with the URL https://www.youtube.com/watch?v=12345 the ID is 12345.
-    Returns:
-        str: The transcript of the YouTube video. as a single string with each line separated by a newline character.
-    """
-    # Initialize the YouTubeTranscriptApi
-    ytt_api = YouTubeTranscriptApi()
-    fetched_transcript = ytt_api.fetch(video_id)
-    raw_data = fetched_transcript.to_raw_data()
-    # raw data is in the form of [{        'text': 'Hey there',        'start': 0.0,        'duration': 1.54    },    {        'text': 'how are you',,        'start': 1.54,        'duration': 4.16    },   ... ] we will return ony the text element as lines
-    transcript = "\n".join([item['text'] for item in raw_data])
-    return transcript
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -100,7 +54,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         search_tool = DuckDuckGoSearchTool()
         my_small_agent = CodeAgent(
                         model=openai_41mini_model,
-                        tools=[search_tool, analyze_image, get_youtube_transcript],
+                        tools=[search_tool, analyze_image, get_youtube_transcript, reverse_text],
                         name="web_agent",
                         description="Use search engine to find webpages related to a subject and get the page content",
                         #additional_authorized_imports=["pandas", "numpy","bs4"],

hf_agent_course/tools.py

@@ -0,0 +1,59 @@
+from youtube_transcript_api import YouTubeTranscriptApi
+from smolagents import tool
+
+@tool
+def analyze_image(question: str, image_url: str) -> str:
+    """
+    Analyze an image using OpenAI's API.
+    Args:
+        question (str): The question to ask about the image. eg. "What is in this image?"
+        image_url (str): The URL of the image to analyze.
+    """
+    client = OpenAI()
+    response = client.responses.create(
+        model="gpt-4o-mini",
+        input=[
+            {
+                "role": "user",
+                "content": [
+                    { "type": "input_text", "text": f"{question}" },
+                    {
+                        "type": "input_image",
+                        "image_url": f"{image_url}",
+                    }
+                ]
+            }
+        ]
+    )
+
+    return response
+
+@tool
+# a function to get youtube transcript from video id
+def get_youtube_transcript(video_id: str) -> str:
+    """
+    Fetches the transcript of a YouTube video given its video ID.
+    Args:
+        video_id (str): The ID of the YouTube video. Pass in the video ID, NOT the video URL. For a video with the URL https://www.youtube.com/watch?v=12345 the ID is 12345.
+    Returns:
+        str: The transcript of the YouTube video. as a single string with each line separated by a newline character.
+    """
+    # Initialize the YouTubeTranscriptApi
+    ytt_api = YouTubeTranscriptApi()
+    fetched_transcript = ytt_api.fetch(video_id)
+    raw_data = fetched_transcript.to_raw_data()
+    # raw data is in the form of [{        'text': 'Hey there',        'start': 0.0,        'duration': 1.54    },    {        'text': 'how are you',,        'start': 1.54,        'duration': 4.16    },   ... ] we will return ony the text element as lines
+    transcript = "\n".join([item['text'] for item in raw_data])
+    return transcript
+
+@tool
+def reverse_text(question: str) -> str:
+    """
+    Reverse a string if it appears to be written backward.
+    Args:
+        question (str): The question that seemed to be written backward"
+    """
+    reversed_candidate = question[::-1]
+    if question.strip() and question.strip()[0] in "?.!":
+        return reversed_candidate
+    return "Text seems normal."