added sample video

app.py

@@ -2,16 +2,16 @@ import os
 import gradio as gr
 import cv2
 
-from frmae_by_frame import ProcessFrame
+from frame_by_frame import ProcessFrame
 from utils import get_mediapipe_pose
 from rules import get_rules
 
-sample_video = os.path.join(os.path.dirname(__file__), "our_videos/check2.mov")
+sample_video = os.path.join(os.path.dirname(__file__), "our_videos/sample.mov")
 
 
 POSE = get_mediapipe_pose()
 
-def take_inp(video_path, mode="Your self"):
+def take_inp(video_path):
     output_video_file = f"output_recorded.mp4"
     thresholds=get_rules()
     upload_process_frame = ProcessFrame(thresholds=thresholds)
@@ -46,19 +46,17 @@ def take_inp(video_path, mode="Your self"):
 input_video = gr.Video(label="Input Video")
 output_frames_up = gr.Image(label="Output Frames")
 output_video_file_up = gr.Video(label="Output video")
-output_frames_cam = gr.Image(label="Output Frames")
-output_video_file_cam = gr.Video(label="Output video")
+
 
 video_ui = gr.Interface(
                     fn=take_inp,
-                    inputs=[input_video, gr.Radio(choices=["Your self", "Others"], label="Select Mode")],
+                    inputs=[input_video],
                     outputs=[output_frames_up, output_video_file_up],
                     title=f"Form Fit - Vision",
                     allow_flagging="never",
                     examples=[[sample_video]]
                 )
 
-
 app = gr.TabbedInterface([video_ui], tab_names=["Upload Video"])
 
 app.queue().launch()

our_videos/check2.mov

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:5cb0e58e4b0e3aeecea495577a6ff2c07be32bc2a0243230d80358675d0362b2
-size 11426959

readme.txt

@@ -0,0 +1,15 @@
+# How to run Code Locally
+
+1. Open terminal
+2. run.sh
+3. App starts at specific port which can be seen from terminal
+4. Open that port in any browser to interact with the model
+5. It shows our UI to interact with our model
+
+
+or
+
+
+# Can be accessed online from higgingface spaces
+
+1. You can also visit our online deployed here : https://huggingface.co/spaces/hemanth-thaluru/Form_Fit_Vision

requirements.txt

@@ -1,3 +1,8 @@
 opencv-python-headless
 mediapipe
-numpy
+numpy
+gradio 
+gradio_client
+huggingface-hub           
+opencv-contrib-python
+Pillow

run.sh

@@ -0,0 +1,7 @@
+#!/bin/bash
+
+# Install dependencies
+pip install -r requirements.txt
+
+# Run the app
+python3 app.py